基于高等教育专业教学质量标准下药用微生物学课程能力培养教学模式的研究

基于高等教育专业教学质量标准,研究药用微生物学课程能力培养教学模式,立足于学校实际,在推行新课改的前提下,积极开展药用微生物学课程的教学改革实践活动。通过明确课程定位、确定课程目标、做好课程设计、组织课程实施、严控课程考核、认真教学反思等过程实施,提升学生在课堂中的参与度,锻炼其思维能力、语言表达能力、自主学习及解决问题的能力,从而推进“高效课堂”的有效实施,促进学生学习方式和教师教学方式的转变,以期达到培养高素质技能型人才的目标。     

基于距离相关系数和KNN回归模型的森林蓄积量估测研究

【目的】探究Landsat8 OLI数据和KNN算法在森林蓄积量估测中的潜力。【方法】以湖南省湘潭县为研究区,采用Landsat8 OLI数据和同时期的二类调查数据,通过距离相关系数筛选特征,分别采用线性回归模型(MLR)、K-近邻模型(KNN)、距离加权KNN模型(DW-KNN)和优化欧式KNN模型(FW-KNN)对森林蓄积量进行估测。使用十折交叉方法进行精度检验,对检验结果进行对比分析。【结果】3种KNN模型的估测结果均高于传统的线性模型,并且在3种KNN模型中,FW-KNN算法效果最好,决定系数达到0.69,为3种模型中最高;3种KNN模型中,本研究优化欧氏距离KNN模型的估测精度最高,其均方根误差为30.3%,相比于传统KNN模型的均方根误差降低了5.1%,相比于DW-KNN模型降低了3.3%。【结论】采用DW-KNN蓄积量估测结果明显优于其他两种模型,说明通过特征与蓄积量的相关性优化样本间的距离是一种可行的KNN优化方法。     

基于Web电子商务平台的食用菌产品共词聚类算法

针对食用菌产品电子商务平台的数据挖掘问题,采用了共词聚类算法进行主题聚类,在密度聚类算法的基础上,使用了移动非密集单元的处理方法实现了共词聚类。该算法克服了传统聚类算法裁剪造成的精度误差,提高了聚类结果的精确度,应用在电子商务平台的效果良好。     

基于空间分析的黑龙江稻瘟病重点发生区域识别

黑龙江是北方重要稻作区,稻瘟病是影响水稻产量的主要病害之一。依据稻瘟病测报调查规范,基于近5年黑龙江稻瘟病乡村监测点调查数据,利用空间分析技术的方法,分析黑龙江稻瘟病重点发生区县和核心发生区域,提取稻瘟病重点发生乡村监测点。结果表明,近5年黑龙江稻瘟病发病面积占调查面积的7.3%,发病等级以1级为主,整体发生较轻,稻瘟病重点发生区域主要分布在松花江上游地区哈尔滨市的阿城、尚志、方正、延寿、通河、依兰沿线和松花江下游三江平原地区佳木斯市的富锦、同江一带,以及嫩江流域大庆市的肇源县和齐齐哈尔市的讷河市以及呼兰河流域绥化市北林区,并提取了98个叶瘟和47个穗颈瘟重点监测点。上述结果为黑龙江稻瘟病调查监测区域和监测点的布局优化提供了重要依据,为稻瘟病测报防控工作提供重要的支撑。     

农林高校旅游管理专业人才培养现状、困境与发展思考

基于对全国32所农林高校旅游管理专业现状描述,认为农林高校旅游管理专业的现实困境有培养目标趋同从众、农林特色课程少、学科地位弱、边缘化严重、市场火爆专业遇冷并存。提出建议:依托农林优势资源,坚持“有小异”;优化专业方向课程,凸显农林特色;落实导师制,精细化人才培养。研究结论对于农林高校提升旅游管理专业办学质量与特色具有借鉴价值。     

农村电商发展背景下高职商务英语人才教育与培养路径

随着国家对农村市场的重视和乡村振兴战略的提出，农村电子商务也如雨后春笋般不断诞 生。农村电子商务的不断发展为高职商务英语专业人才提供了新的机遇和挑战。本文对传统高职商 务英语人才的培养现状进行分析，并对农村电商新环境下的高职商务英语专业人才教育与培养的路 径进行了探索和建议。     

高职教育专业人才培养方案质量诊断指标体系的建立

专业人才培养方案是高职院校培养专门人才的实施方案,为高质量完成人才培养工作提供途径和方法。高职教育实用性人才的培养必须以毕业生就业岗位需求为基础,确定培养目标、建立课程体系、以真实的工作或生产项目为载体完成教学内容、校企合作共同完成人才培养全过程。可以从制定依据、就业岗位、课程体系、项目体系和实践体系等方面实施诊断工作,保证人才培养方案质量。     

Regional and temporal differentiation of virulence phenotypes of Puccinia triticina from common wheat in Russia during the period 2001–2018

Leaf rust, caused by the fungus Puccinia triticina, is one of the most damaging rust diseases of wheat in Russia. Populations of P. triticina were monitored in seven regions of Russia from 2001 to 2018, with a total of 5,191 single urediniospore isolates from bread wheat (Triticum aestivum) being analysed. Populations have changed significantly in all regions since 2012, after 2 years of drought (2010–2011). Regional collections of P. triticina were also significantly different between the two periods 2001–2009 and 2012–2018, with changes along two geographic gradients from West Siberia to the north-west and south-west (North Caucasia) of the European part of Russia. All tested isolates were avirulent to resistance gene Lr9 in 2001–2009 but, since 2010, virulence to Lr9 has occurred and annually increased in the Asian part of Russia (Ural and West Siberia) due to deployment of cultivars with the Lr9 gene. Virulence to Lr2a and Lr15 was considerably lower in Dagestan (6%–33%) and all European regions (35%–67%) than in Asian regions (84%–96%). During 2001–2009, virulence on Lr1 was also lower in Dagestan (33%) and the European regions (50%–77%) than in Asia (91%–96%); however, by 2012–2018, nearly all isolates were virulent on Lr1. Remarkable changes were observed in frequencies of P. triticina races defined by their virulence/avirulence to Lr1 and Lr2a genes. We postulate the P. triticina population in Dagestan is specific to that area and pathogen populations in European and Asian parts of Russia are distinct.     

Ecological and landscape effects on genetic distance in an assemblage of headwater fishes

Environmental divergence along hierarchically structured longitudinal gradients may constitute barriers to gene flow in river networks for headwater specialised species. While known, this phenomenon has not been well studied, especially with regard to degree of headwater specialisation. We examined six headwater species that differ in habitat specialisation to assess whether patterns of differentiation vary according to geographic or environmental distance. We also identified regional environmental or anthropogenically induced fragmentation effects by comparing within‐drainage patterns of genetic distance across replicate watersheds. We used a comparative modelling framework to determine whether isolation by distance or isolation by resistance of large river habitats was a better predictor of genetic distance across species. The influence of reservoir presence and regional network characteristics that may influence the hydrology and size of large river habitats were also assessed. Resistance effects from large rivers were closely related to headwater specialisation, with increased specialisation leading to increased resistance and loss of drainagewide population connectivity. These results affirm that dendritic networks naturally fragment headwater specialised species. Further isolation from anthropogenic fragmentation was detected in two of the six drainages, indicating interactions with system‐specific conditions. Landscape variables related to the hydrology of large rivers also affected genetic distance in predicted ways, supporting the importance of large rivers in genetically structuring headwater species in drainage networks.